2015 International Conference on Energy Economics and Environment (ICEEE)最新文献_第3页

Risk-based DC security assessment for future DC-independent system operator 未来直流独立系统运营商基于风险的直流安全评估

2015 International Conference on Energy Economics and Environment (ICEEE) Pub Date : 2015-03-27 DOI: 10.1109/ENERGYECONOMICS.2015.7235101

F. Gonzalez-Longatt, C. Carmona-Delgado, J. Riquelme, M. Burgos, J. Rueda

引用次数: 5

One hour ahead price forecast of Ontario electricity market by using ANN 基于神经网络的安大略省电力市场1小时前电价预测

2015 International Conference on Energy Economics and Environment (ICEEE) Pub Date : 2015-03-27 DOI: 10.1109/ENERGYECONOMICS.2015.7235102

Kishan Bhushan Sahay

{"title":"One hour ahead price forecast of Ontario electricity market by using ANN","authors":"Kishan Bhushan Sahay","doi":"10.1109/ENERGYECONOMICS.2015.7235102","DOIUrl":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235102","url":null,"abstract":"In restructured electricity markets, forecasting electricity parameters are most essential tasks & basis for any decision making. Forecasting price in competitive electricity markets is difficult for consumers and producers in order to plan their operations and to manage their price risk, and it also plays a key role in the economic optimization of the deregulated power industry. Accurate, short-term price forecasting is an essential instrument which provides crucial information for power producers and consumers to develop accurate bidding strategies in order to maximize their profit. In this paper artificial intelligence (AI) has been applied in short-term price forecasting that is, the one hour ahead price forecast of the electricity market. A new artificial neural network (ANN) has been used to compute the forecasted price in Ontario electricity market using MATLAB R13b. The data used in the forecasting are hourly historical data of the electricity load and price of Ontario electricity market. The simulation results have shown highly accurate one hour ahead forecasts with very small error in price forecasting.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134101884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Comparative analysis of four different solar photovoltaic technologies 四种不同太阳能光伏技术的对比分析

2015 International Conference on Energy Economics and Environment (ICEEE) Pub Date : 2015-03-27 DOI: 10.1109/ENERGYECONOMICS.2015.7235077

Nitin Kumar, S. Chandel, P. Yadav

引用次数: 12

Effect of FSS structure on planar patch antenna FSS结构对平面贴片天线的影响

2015 International Conference on Energy Economics and Environment (ICEEE) Pub Date : 2015-03-27 DOI: 10.1109/ENERGYECONOMICS.2015.7235095

R. Mishra, Amit Rai

引用次数: 1

Optimization of economic load dispatch problems using biogeography based optimization technique 基于生物地理学优化技术的经济负荷调度问题优化

2015 International Conference on Energy Economics and Environment (ICEEE) Pub Date : 2015-03-27 DOI: 10.1109/ENERGYECONOMICS.2015.7235067

Jitendra Singh, S. Goyal

{"title":"Optimization of economic load dispatch problems using biogeography based optimization technique","authors":"Jitendra Singh, S. Goyal","doi":"10.1109/ENERGYECONOMICS.2015.7235067","DOIUrl":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235067","url":null,"abstract":"This paper presents a Biogeography Based Optimization (BBO) technique to solve the Economic Load Dispatch problem even as considered the generator and transmission constraints and satisfying it. Biogeography basically is the study of the geographical distribution of the biological organism. Biogeography based optimization is a comparatively new approach. Mathematical models of biogeography explain how an organism arises and how to migrate from one habitat to another habitat, or get died out. In BBO algorithm, solutions are sharing the good features between solutions that are immigration and emigration process. This algorithm looks for the overall optimum solution mostly through two steps - Migration and Mutation. Results are obtained on the different-different population size and different-different number of trials. The Results of the proposed method have been compared with results of IEEE 30-bus, 6 generator system and got the better quality of the obtained solution. This method is one of the important approaches for solving the Economic Load Dispatch problems under practical conditions.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129368032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Multiarea automatic generation control using BBBC tuned several classical controllers in deregulated environment 在放松管制的环境下，BBBC对几种经典控制器进行了调谐，实现了多区域自动生成控制

2015 International Conference on Energy Economics and Environment (ICEEE) Pub Date : 2015-03-27 DOI: 10.1109/ENERGYECONOMICS.2015.7235076

Nagendra Kumar, B. Tyagi, Vishal Kumar

引用次数: 4

Analysis of parameters for green computing approach using the analytical hierarchy process 采用层次分析法对参数进行绿色计算分析

2015 International Conference on Energy Economics and Environment (ICEEE) Pub Date : 2015-03-27 DOI: 10.1109/ENERGYECONOMICS.2015.7235113

Rahul Baidya, S. Ghosh, Biswajit Debnath

{"title":"Analysis of parameters for green computing approach using the analytical hierarchy process","authors":"Rahul Baidya, S. Ghosh, Biswajit Debnath","doi":"10.1109/ENERGYECONOMICS.2015.7235113","DOIUrl":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235113","url":null,"abstract":"Waste Electrical and Electronics Equipment(WEEE) recycling is an important approach towards green computing apart from several other approaches like energy consumption, cloud computing. This study focuses on the approaches of green computing and how it can be used to minimize the environmental impacts of computers and other IT related resources effectively by WEEE recycling. This paper tries to answer the following two questions: What are the issues affecting proper implementation of the WEEE recycling as a green computing approach? What are the most important parameters? The study was carried out on the basis of some case studies. Firstly some field study were carried out for identifying the issues pertaining to the WEEE recycling in the IT industry's, secondly priority rating was obtained considering the parameters obtained from the primary research and literature survey, Finally the obtained ratings were analyzed using the analytical hierarchy process (AHP) for prioritizing the different criteria which were affecting the WEEE recycling practices as a green computing approach. There are numerous researches in this field considering the green computing approach but there is hardly any literature available which has considered so many parameters with the AHP analysis for prioritizing the parameters. This research will help the stakeholders in implementing green computing approach with proper recycling of WEEE.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121226100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Analysis of power flow, continuous power flow and transient stability of IEEE-14 bus integrated wind farm using PSAT 基于PSAT的IEEE-14总线集成风电场潮流、持续潮流和暂态稳定分析

2015 International Conference on Energy Economics and Environment (ICEEE) Pub Date : 2015-03-27 DOI: 10.1109/ENERGYECONOMICS.2015.7235099

Satish Kumar, Ashwani Kumar, N. Sharma

引用次数: 18

Considering weighted least square techniques on power system state estimation 考虑加权最小二乘技术的电力系统状态估计

2015 International Conference on Energy Economics and Environment (ICEEE) Pub Date : 2015-03-27 DOI: 10.1109/ENERGYECONOMICS.2015.7235115

Pankaj Tripathi, J. Rahul, Nim Anurag Radhamohan

引用次数: 4

Comparative study of optimization algorithms for enhancement of small signal stability by designing PSS for multi-machine power system 多机电力系统设计PSS增强小信号稳定性的优化算法比较研究

2015 International Conference on Energy Economics and Environment (ICEEE) Pub Date : 2015-03-27 DOI: 10.1109/ENERGYECONOMICS.2015.7235100

Vivek Prakash, B. Soni, Akash Saxena, Vikas Gupta

{"title":"Comparative study of optimization algorithms for enhancement of small signal stability by designing PSS for multi-machine power system","authors":"Vivek Prakash, B. Soni, Akash Saxena, Vikas Gupta","doi":"10.1109/ENERGYECONOMICS.2015.7235100","DOIUrl":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235100","url":null,"abstract":"Power System Stabilizers (PSSs) are used in very large, complex & interconnected power system in order to damp out low frequency oscillations. Therefore, it is required to utilize most efficient optimization techniques to simplify the small signal stability problem. From this point of view, many successful and powerful optimization methods and algorithms have been employed in formulating and solving this problem. The comparison of performances of three advanced optimization techniques in tuning the parameters of PSS in a New England test system (10 Generator, 39 buses) is presented in this paper. The optimization algorithms considered in this paper for effective analysis and design of PSS for multi-objective, multi-machine power systems are: Social Spider Optimization (SSO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). Robustness of proposed technique is analyzed over different type of operating conditions. It is observed that Social Spider Optimization (SSO) is performing better than the other two algorithms.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115132614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4